Senior Data Scientist (Generative AI)

Razer; Singapore; On-site; SGD 120,000 - 240,000; Full time

Job summary

Razer Singapore is hiring a GenAI Engineer to design, develop, and maintain GenAI-powered tools for interactive applications and developer support. You will build RAG pipelines, agent-based workflows, and production-grade AI services while collaborating with data engineers and game developers across a global team.

The role requires strong proficiency in Python, LLMs, and DL frameworks (PyTorch/TensorFlow), plus experience in cloud-based ML platforms.

Qualifications

• Proven experience in developing and deploying applied machine learning or Generative AI systems in real-world applications.
• Proficiency in Python; experience with additional languages is a plus.
• Strong understanding of LLMs, prompt engineering, retrieval systems, and agent-based architectures.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience building and evaluating RAG pipelines, GenAI tools, or AI-powered microservices.
• Familiarity with cloud-based AI platforms and production ML workflows for training, evaluation, and deployment.
• Ability to evaluate and optimize model performance using task-specific metrics and benchmarks.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills across technical and non-technical teams.

Responsibilities

• Design, develop, and maintain GenAI solutions for developer tools and interactive applications.
• Build and extend RAG-based systems, including retrieval pipelines, indexing strategies, and prompt orchestration.
• Develop agentic workflows and GenAI packages to support reasoning, planning, and tool-based execution patterns.
• Collaborate with software engineering teams to design and manage production pipelines for GenAI microservices.
• Work with data engineering teams to define data schemas, ingestion pipelines, and validation strategies for structured and unstructured data used by GenAI systems.
• Fine-tune and adapt large language models for domain-specific tasks and performance requirements.
• Partner with AI engineers to evaluate GenAI system performance using task-specific metrics, benchmarks, and qualitative analysis.
• Optimize GenAI services and pipelines for latency, scalability, reliability, and cost efficiency in production environments.
• Assist in the deployment, monitoring, and maintenance of GenAI services in cloud-based infrastructures.
• Document system designs, workflows, experiments, and implementation details for internal knowledge sharing.
• Stay updated on emerging trends and advancements in GenAI, LLMs, and agent-based systems through research and experimentation.
• Consider ethical, legal, and regulatory implications in the development and deployment of AI systems.

Skills

GenAI expertise

Python

LLMs

Prompt engineering

RAG pipelines

Agent-based architectures

PyTorch

TensorFlow

Cloud ML platforms

Communication & analysis

Education

Master’s or PhD in CS/AI/ML

2+ years applied ML/GenAI

Tools

AWS SageMaker

Docker

Job description

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities

This role will focus on designing and developing GenAI-driven solutions for interactive systems and developer-facing tools. The ideal candidate will have strong expertise in GenAI technologies, including large language models, retrieval-augmented generation (RAG), and agentic workflows, with experience building scalable and production-ready AI services. This role involves working closely with data engineers, software engineers, and game developers to deliver robust AI tools, manage production pipelines, and enable fast iteration in real-world environments.

Essential Duties and Responsibilities

• Design, develop, and maintain GenAI solutions for developer tools and interactive applications.
• Build and extend RAG-based systems, including retrieval pipelines, indexing strategies, and prompt orchestration.
• Develop agentic workflows and GenAI packages to support reasoning, planning, and tool-based execution patterns.
• Collaborate with software engineering teams to design and manage production pipelines for GenAI microservices.
• Work with data engineering teams to define data schemas, ingestion pipelines, and validation strategies for structured and unstructured data used by GenAI systems.
• Fine-tune and adapt large language models for domain-specific tasks and performance requirements.
• Partner with AI engineers to evaluate GenAI system performance using task-specific metrics, benchmarks, and qualitative analysis.
• Optimize GenAI services and pipelines for latency, scalability, reliability, and cost efficiency in production environments.
• Assist in the deployment, monitoring, and maintenance of GenAI services in cloud-based infrastructures.
• Document system designs, workflows, experiments, and implementation details for internal knowledge sharing.
• Stay updated on emerging trends and advancements in GenAI, LLMs, and agent-based systems through research and experimentation.
• Consider ethical, legal, and regulatory implications in the development and deployment of AI systems.

Pre-Requisites

• Qualifications Proven experience in developing and deploying applied machine learning or Generative AI systems in real-world applications.
• Proficiency in Python; experience with additional languages is a plus.
• Strong understanding of LLMs, prompt engineering, retrieval systems, and agent-based architectures.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience building and evaluating RAG pipelines, GenAI tools, or AI-powered microservices.
• Familiarity with cloud-based AI platforms and production ML workflows for training, evaluation, and deployment.
• Ability to evaluate and optimize model performance using task-specific metrics and benchmarks.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills across technical and non-technical teams.

Preferred Experience

• Experience building RAG microservices, agent frameworks, or modular GenAI tooling.
• Exposure to multi-GPU training, distributed experiments, or large-scale model fine-tuning.
• Experience with AWS SageMaker or similar managed ML platforms.
• Awareness of emerging GenAI techniques, including tool-using agents, function calling, and planning-based workflows.

Education & Experience

• Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
• 2+ years of applied experience in machine learning or Generative AI (academic or industry).

Travel Requirements

• Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game? At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission “For Gamers. By Gamers.”, we create cutting-edge products and experiences that define the ultimate gameplay. Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won’t just witness this evolution; you’ll help drive it. Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross-cultural environment. The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem-solving. Our people are what make Razer exceptional. Together, we’ll take Razer to even greater heights. Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected by the laws of the countries we operate in. We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.